WO2020168858A1

WO2020168858A1 - Data self-calibration method and related apparatus

Info

Publication number: WO2020168858A1
Application number: PCT/CN2020/071801
Authority: WO
Inventors: 欧锦荣
Original assignee: Oppo广东移动通信有限公司
Priority date: 2019-02-20
Filing date: 2020-01-13
Publication date: 2020-08-27
Also published as: CN109901754B; CN109901754A

Abstract

The embodiments of the present application disclose a data self-calibration method and a related apparatus. Said method comprises: when a touch operation event of a user for the preset area is detected, acquiring at least one first picture of the preset area; when it is detected that the touch operation event ends, acquiring a second picture of the preset area; determining a first set of data according to the at least one first picture and the second picture, the first set of data comprising a first exposure time and a first reference picture; and using the first set of data to update a currently stored second set of data, the second set of data comprising a second exposure time and a second reference picture. The embodiments of the present application facilitate improving the convenience and flexibility of data updating, further improving the effectiveness of acquired fingerprint images.

Description

Data self-calibration method and related device

Technical field

This application relates to the technical field of electronic equipment, and in particular to a data self-calibration method and related devices.

Background technique

With the development of mobile communication technology, electronic devices (such as smart phones) are more and more widely used. In order to ensure the security of various data in electronic devices, fingerprint unlocking functions are set up, and in order to make the screen of the display large enough, The fingerprint module under the optical screen came into being.

At present, the parameters such as the exposure time of the fingerprint under the optical screen and the reference image are related to the hardware structure and the aging state of the device. Therefore, if the mobile phone is dropped or the hardware is aging, the calibration data of the electronic device at the factory may be used. Unable to unlock exception.

Summary of the invention

The embodiments of the present application provide a data self-calibration method and related devices, in order to improve the convenience and flexibility of data update, and thereby improve the effectiveness of acquiring fingerprint images.

In the first aspect, an embodiment of the present application provides a data self-calibration method, which is applied to an electronic device, the electronic device includes a display screen and an under-screen fingerprint module set relative to a preset area of the display screen, including:

Collecting at least one first picture in the preset area when a touch operation event of the user on the preset area is detected;

When it is detected that the touch operation event ends, collecting a second picture of the preset area;

Determining a first set of data according to the at least one first picture and the second picture, where the first set of data includes a first exposure time and a first reference picture;

The currently stored second set of data is updated with the first set of data. The second set of data includes a second exposure time and a second reference picture.

In a second aspect, an embodiment of the present application provides a data self-calibration device, which is applied to an electronic device. The electronic device includes a display screen and an under-screen fingerprint module set relative to a preset area of the display screen. The data The self-calibration device includes a processing unit and a communication unit, wherein,

The processing unit is configured to collect at least one first picture of the preset area through the communication unit when a user's touch operation event for the preset area is detected; when the touch is detected When the operation event ends, the second picture of the preset area is collected through the communication unit; a first set of data is determined according to the at least one first picture and the second picture, and the first set of data includes the first An exposure time and a first reference picture; the currently stored second set of data is updated with the first set of data, and the second set of data includes a second exposure time and a second reference picture.

In a third aspect, embodiments of the present application provide an electronic device, including a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be processed by the above The above-mentioned program includes instructions for executing the steps in any method of the first aspect of the embodiments of the present application.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the foregoing computer-readable storage medium stores a computer program for electronic data exchange, wherein the foregoing computer program enables a computer to execute In one aspect, some or all of the steps described in any method.

In a fifth aspect, embodiments of the present application provide a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute For example, some or all of the steps described in any method of the first aspect. The computer program product may be a software installation package.

Description of the drawings

The following will briefly introduce the drawings involved in the embodiments of the present application.

FIG. 1 is a schematic diagram of fingerprint collection by an electronic device according to an embodiment of the present application;

2 is a schematic flowchart of a data self-calibration method provided by an embodiment of the present application;

3 is a schematic flowchart of another data self-calibration method provided by an embodiment of the present application;

4 is a schematic flowchart of another data self-calibration method provided by an embodiment of the present application;

FIG. 5 is a schematic structural diagram of yet another electronic device provided by an embodiment of the present application;

Fig. 6 is a block diagram of functional units of a data self-calibration device provided by an embodiment of the present application.

detailed description

In order to enable those skilled in the art to better understand the solution of the application, the technical solutions in the embodiments of the application will be clearly and completely described below in conjunction with the drawings in the embodiments of the application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of this application.

The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific sequence. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes unlisted steps or units, or optionally also includes Other steps or units inherent to these processes, methods, products or equipment.

Reference to "embodiments" herein means that a specific feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art clearly and implicitly understand that the embodiments described herein can be combined with other embodiments.

The electronic devices involved in the embodiments of the present application may be electronic devices with data transmission capabilities. The electronic devices may include various handheld devices with wireless communication functions, vehicle-mounted devices, wearable devices, computing devices, or devices connected to wireless modems. Other processing equipment, and various forms of user equipment (User Equipment, UE), mobile station (Mobile Station, MS), terminal equipment (terminal device), etc.

The following describes the embodiments of the present application in detail.

Fingerprint recognition technology associates a person with his fingerprint. By comparing his fingerprint with a pre-saved fingerprint module, and identifying the minutiae feature points of different fingerprints, his true identity can be verified. Feature points refer to the breakpoints, bifurcation points and turning points where the fingerprint lines are often interrupted, branched or turned. Each person’s fingerprint pattern is unique in pattern, breakpoint, bifurcation and turning point. And its uniqueness is the same throughout life. It is this uniqueness and stability that we can create fingerprint recognition technology. Fingerprint recognition technology has the advantages of fast recognition speed, convenient collection and low price, and is widely used in many disciplines such as image processing, pattern recognition, and computer vision. As shown in Figure 1, Figure 1 is a schematic diagram of an electronic device 101 collecting fingerprints. The electronic device 101 includes a display screen 102 and an under-screen fingerprint module 104 set relative to a preset area 103 of the display screen 102. The lower fingerprint module 104 is the lower fingerprint module of the optical screen, and 105 is the enlarged image of the fingerprint. When the user's finger touches the screen, the light emitted by the display screen 102 according to a certain exposure time penetrates the cover to illuminate the fingerprint texture, forming a fingerprint light The fingerprint returns the reflected light to the fingerprint module 104 under the screen, and finally forms a fingerprint image.

Please refer to FIG. 2. FIG. 2 is a schematic flow chart of a data self-calibration method provided by an embodiment of the present application, which is applied to the electronic device as described in FIG. 1, and the electronic device includes a display screen and relative to the display screen. The under-screen fingerprint module set in the preset area, as shown in the figure, the data self-calibration method includes:

S201: The electronic device collects at least one first picture in the preset area when detecting a touch operation event of the user for the preset area.

Wherein, the at least one first picture is a screen picture of a preset area including a user's fingerprint image collected from the start of the touch operation event (the user's pressing event against the preset area is detected) to the end, and the electronic device obtains The exposure time used for each first picture is different, that is, the electronic device acquires it by continuously modifying the exposure time within the range of the preset exposure time from the beginning to the end of the detection of the touch operation event.

Wherein, the projection of the preset area on the plane where the sampling end of the fingerprint module under the screen is located coincides with the sampling end, and the fingerprint recognition area may be a circle, a square, an irregular shape, etc., which is not unique here. limited.

S202: The electronic device collects a second picture of the preset area when detecting that the touch operation event ends.

Wherein, the end of the touch operation event corresponds to the user's finger lifting process, the electronic device may collect a second picture within a preset time period (such as 100 min) after the end of the touch operation event, the second picture being a screen picture, The second picture includes screen noise information, such as stains, foreign objects, and so on.

S203: The electronic device determines a first set of data according to the at least one first picture and the second picture, where the first set of data includes a first exposure time and a first reference picture.

Wherein, the specific implementation manners for determining the first set of data according to the at least one first picture and the second picture may be various, for example, may be based on one first group of the at least one first picture. The exposure time of the picture determines the first exposure time, and the first reference picture is determined according to the noise information on the second picture and the environmental parameters when the second picture is taken, or it may be that at least one of the first pictures is selected with a higher definition than The first picture with a preset resolution is determined, the average exposure time of multiple first pictures is determined as the first exposure time, and the second picture is used as the first reference picture, etc., which are not limited here.

S204. The electronic device updates the currently stored second set of data with the first set of data, where the second set of data includes a second exposure time and a second reference picture.

Wherein, the second exposure time and the second reference picture in the second set of data are the exposure time and reference picture stored in the electronic device before the self-calibration, for example, when the self-calibration is the first self-calibration , Then the second exposure time and the second reference picture are the data stored in the electronic device by the technician when the electronic device leaves the factory, or, when the self-calibration is not the first self-calibration, such as the second or third self-calibration During calibration, the second exposure time and the second reference picture are the data determined and stored by the electronic device during the previous self-calibration of the current self-calibration.

Wherein, the specific implementation manners for the electronic device to update the currently stored second set of data with the first set of data may be various, for example, the second exposure time may be replaced by the first exposure time, and the first exposure time may be replaced by the first exposure time. The reference picture replaces the second reference picture, or it may be first to detect whether the first exposure time and the second exposure time are the same, or whether the first reference picture and the second reference picture are the same, where, when the first exposure time and the second exposure time When the first reference picture is the same as the second reference picture, the second exposure time can only be replaced by the first exposure time, or when the first exposure time and the second exposure time are the same, and the first reference picture and the second When the reference pictures are different, the second reference picture can only be replaced with the first reference picture, or in this case, multiple pixels with different pixel values in the first reference picture and the second reference picture can be determined, and only The pixel values of the multiple pixels in the first reference picture cover the pixel values of the corresponding pixels in the second reference picture, etc., which are not uniquely limited herein.

It can be seen that, in this embodiment of the application, when the electronic device detects a user's touch operation event for the preset area, it collects at least one first picture in the preset area, and when the touch is detected When the control operation event ends, a second picture in the preset area is collected, and then a first set of data is determined based on the at least one first picture and the second picture, and the first set of data includes the first exposure Time and the first reference picture, and finally, update the currently stored second set of data with the first set of data, the second set of data including the second exposure time and the second reference picture. It can be seen that the electronic device can determine the first set of data to be used according to the first picture and the second picture collected at different time nodes during the user's use at any time, without the need to pass the production line fixture, which is beneficial to improve The convenience and flexibility of data self-calibration, and the second set of currently stored data is updated through the first set of data to improve the effectiveness of subsequent fingerprint images.

In a possible example, when it is detected that the user's touch operation event for the preset area starts, before collecting the first picture of the preset area, the method further includes:

Within a preset time period, it is detected that the number of times the electronic device fails to perform a preset operation is greater than a preset number of thresholds, and the preset operation is: when a fingerprint to be unlocked event is detected, the user is collected through the second exposure time And process the first reference fingerprint image through the second reference image to obtain a first target fingerprint image, and detect whether the first target fingerprint image matches a preset fingerprint template, the Detecting that the electronic device fails to perform a preset operation is detecting that the first target fingerprint image does not match the preset fingerprint template;

When it is determined that the type of the preset operation failure is the preset type, the touch operation event of the user for the preset area is detected.

Wherein, the preset threshold for the number of times may be, for example, 3 times, 4 times, 5 times, etc., which are not limited here.

Among them, the fingerprint waiting to be unlocked events may be various, for example, it may be a screen waiting to be unlocked event, an application waiting to be unlocked event, a payment waiting to be unlocked event, etc., which are not limited here.

Wherein, the specific implementation manner of processing the first reference fingerprint image through the second reference image to obtain the first target fingerprint image is to use the second reference image as a noise reference to remove the noise on the first reference fingerprint image to obtain The first target fingerprint picture is to filter out the noise pixel values on the second reference picture on the first reference fingerprint picture to obtain the first target fingerprint picture.

There are various types of failures in the preset operation. For example, the preset operation failed due to wet fingers, the preset operation failed due to inaccurate calibration data, or because of ambient light. The preset operation fails, etc., wherein the preset type is the preset operation failure caused by inaccurate calibration data.

Wherein, the specific implementation of determining the type of the preset operation failure as the preset type may be to detect whether the preset operation failed due to wet fingers through a humidity sensor, and then use a light sensor to detect whether the preset operation fails due to ambient light. Suppose the operation fails, if none of them, it can be confirmed that the type of failure is inaccurate calibration data.

It can be seen that, in this example, when the electronic device detects the number of failures of the preset operation, it actively detects the touch operation event and performs the self-calibration process, which is beneficial to improve the timeliness of the self-calibration, and when the failure type is judged to be the preset Set the type to perform self-calibration to avoid misoperation of self-calibration.

In a possible example, the determining the first set of data according to the at least one first picture and the second picture includes:

Determining the first exposure time according to the at least one first picture;

Use the second picture as the first reference picture.

Wherein, the specific implementation manners for determining the first exposure time according to the at least one first picture may be various. For example, it may be to obtain the pixel value of each pixel in each first picture, Determine the first number of pixel points whose pixel value matches the preset pixel value, and determine that the exposure time corresponding to the first picture with the first number and the largest number in at least one first picture is the first time, or it may be determined for each first picture The average value of the pixels in any area in, the exposure time corresponding to the first picture whose pixel average value matches the preset average value is determined as the first time, etc., which are not limited here.

It can be seen that, in this example, the electronic device determines the first exposure time according to at least one first picture, which is beneficial to improve the accuracy of the exposure time determination, and at the same time, using the second picture as the first reference picture is beneficial to improve the first reference picture , Both the convenience of noise.

In this possible example, the determining the first exposure time according to the at least one first picture includes:

Acquiring the first pixel value of each first pixel of at least one preset area in each of the first pictures;

Determine, according to the first pixel value of each first pixel, an average value of pixels in the at least one preset area in each first picture;

Calculating the difference between the pixel average value of each of the first pictures and a preset average value;

Determine the target picture in the at least one first picture whose difference value is less than or equal to a preset difference value threshold;

The exposure time when acquiring the target picture is the first exposure time.

Wherein, the at least one area may be the central area of the first picture, or may be when the first picture is rectangular, at least one area may be four right-angled areas, etc., which is not limited here.

Wherein, the average pixel value of the at least one preset area in each of the first pictures is the sum of the pixel values of all the first pixels in the at least one preset area divided by the number of first pixels. The average value.

It can be seen that, in this example, the electronic device determines the target picture according to the pixel average value of at least one preset area in each first picture, and then determines the corresponding first exposure time, which is beneficial to improve the accuracy of the first exposure time determination.

In a possible example, when the end of the touch operation event is detected, collecting a second picture of the preset area includes:

When it is detected that the touch operation event ends, acquiring the intensity of the ambient light;

When the intensity of the ambient light is less than a preset intensity threshold, the second picture of the preset area is collected.

It can be seen that in this example, before the electronic device detects the end of the touch operation event and collects the second picture, it first obtains the intensity of the ambient light. When the intensity of the ambient light is less than the preset intensity threshold, the collection is performed, which is beneficial to reduce the environment. The influence of light on the calibration data improves the accuracy of the noise in the second picture.

In a possible example, after the first set of data is determined according to the at least one first picture and the second picture, before the first set of data is used to update the currently stored second set of data, The method also includes:

Acquiring a third picture through the first exposure time;

Processing the third picture by using the first reference picture;

It is detected that the image quality of the processed third picture is greater than the preset quality threshold according to the ratio of the signal amount of the processed third picture to the spatial noise.

Wherein, the third picture may be a picture including a fingerprint image collected by the electronic device at any time, and the any time is the time when the user arbitrarily touches the preset area during the operation of the electronic device, and the third picture may be It is obtained by the electronic device without the user's perception in the background, and is not limited here.

Among them, the specific calculation method of the signal amount of the third picture is to determine the first average value of the pixel values of all the convex points in the fingerprint image in the third picture, and the second method to determine the pixel values of all the concave points. The average value is obtained by subtracting the first average value and the second average value; the specific calculation method of the spatial noise of the third picture is to determine the flatness of the concave point, and determine the spatial noise and flatness according to the flatness The higher the level, the smaller the spatial noise, the lower the flatness, and the greater the spatial noise.

It can be seen that in this example, the electronic device updates the currently stored second set of data in the first set of data to determine whether the calibration result of the first set of data is accurate through the third picture. When the calibrated image quality is greater than the preset quality threshold, Only update the data, which helps to further ensure the accuracy of self-calibration.

In a possible example, after updating the currently stored second set of data with the first set of data, the method further includes:

When a fingerprint to be unlocked event is detected, collecting a second reference fingerprint image of the user through the first exposure time;

Processing the second reference fingerprint image by using the first reference picture to obtain a second target fingerprint image;

The fingerprint to-be-unlocked event is unlocked through the second target fingerprint image.

It can be seen that, in this example, after updating the second set of pre-stored data, the electronic device uses the first set of data to calibrate the acquired second reference fingerprint image after the fingerprint is to be unlocked, which is beneficial to improve the success rate of the fingerprint unlocking event.

Consistent with the embodiment shown in FIG. 2 above, please refer to FIG. 3. FIG. 3 is a schematic flowchart of a data self-calibration method provided by an embodiment of the present application, which is applied to the electronic device described in FIG. The electronic device includes a display screen and an under-screen fingerprint module set relative to the preset area of the display screen. As shown in the figure, the data self-calibration method includes:

S301: In a preset time period, the electronic device detects that the number of times the electronic device fails to perform a preset operation is greater than a preset number of times a threshold.

Wherein, the preset operation is: when a fingerprint to be unlocked event is detected, collecting a first reference fingerprint image of the user through the second exposure time, and processing the first reference fingerprint image through the second reference image To obtain a first target fingerprint image, and to detect whether the first target fingerprint image matches a preset fingerprint template, the detection that the electronic device fails to perform the preset operation is the detection that the first target fingerprint image and the preset fingerprint image The preset fingerprint template does not match.

S302: When the electronic device determines that the type of the preset operation failure is the preset type, detect the touch operation event of the user for the preset area.

S303: The electronic device collects at least one first picture in the preset area when detecting the touch operation event of the user for the preset area.

S304: The electronic device collects a second picture in the preset area when detecting that the touch operation event ends.

S305: The electronic device determines a first exposure time according to the at least one first picture.

S306. The electronic device uses the second picture as a first reference picture.

S307: The electronic device collects a third picture through the first exposure time.

S308. The electronic device processes the third picture by using the first reference picture.

S309: The electronic device detects that the image quality of the processed third picture is greater than a preset quality threshold according to the ratio of the signal amount of the processed third picture to the spatial noise.

S310. The electronic device updates the second set of data with the first set of data, where the first set of data includes the first exposure time and the first reference picture.

It can be seen that, in this embodiment of the application, when the electronic device detects a user's touch operation event for the preset area, it collects at least one first picture in the preset area, and when the touch is detected When the control operation event ends, a second picture in the preset area is collected, and then a first set of data is determined based on the at least one first picture and the second picture, and the first set of data includes the first exposure Time and the first reference picture, and finally, update the currently stored second set of data with the first set of data, the second set of data including the second exposure time and the second reference picture. It can be seen that the electronic device can determine the first set of data to be used according to the first picture and the second picture collected at different time nodes during the user's use at any time, without the need to pass the jig of the production line, which is beneficial to improve The convenience and flexibility of data self-calibration, and the second set of currently stored data is updated through the first set of data to improve the effectiveness of subsequent fingerprint images.

In addition, when the electronic device detects the number of failures of the preset operation, it actively detects the touch operation event and performs the self-calibration process, which is beneficial to improve the timeliness of the self-calibration, and it is performed when the failure type is determined to be the preset type. Self-calibration to avoid misoperation of self-calibration.

In addition, the electronic device updates the currently stored second set of data in the first set of data and uses the third picture to determine whether the calibration result of the first set of data is accurate. The data update is performed only when the image quality after calibration is greater than the preset quality threshold. , Which helps to further ensure the accuracy of self-calibration.

Consistent with the embodiment shown in FIG. 2 above, please refer to FIG. 4. FIG. 4 is a schematic flowchart of a data self-calibration method provided by an embodiment of the present application, which is applied to the electronic device described in FIG. The electronic device includes an under-screen fingerprint module set relative to the preset area of the display screen. As shown in the figure, the data self-calibration method includes:

S401: The electronic device collects at least one first picture in the preset area when detecting a touch operation event of the user on the preset area.

S402: The electronic device acquires the intensity of the ambient light when detecting that the touch operation event ends.

S403: The electronic device collects a second picture in the preset area when the intensity of the ambient light is less than a preset intensity threshold.

S404: The electronic device obtains the first pixel value of each first pixel in at least one preset area in each of the first pictures.

S405. The electronic device determines, according to the first pixel value of each first pixel, an average value of pixels in the at least one preset area in each first picture.

S406. The electronic device calculates the difference between the pixel average value of each of the first pictures and a preset average value.

S407: The electronic device determines a target picture in the at least one first picture whose difference value is less than or equal to a preset difference value threshold.

S408: The electronic device acquires the exposure time when the target picture is collected as the first exposure time.

S409: The electronic device uses the second picture as a first reference picture.

S410. The electronic device updates the second set of data with a first set of data, where the first set of data includes the first exposure time and the first reference picture.

In addition, the electronic device determines the target picture according to the pixel average value of at least one preset area in each first picture, and then determines the corresponding first exposure time, which is beneficial to improve the accuracy of the first exposure time determination.

In addition, the electronic device first obtains the intensity of the ambient light before detecting the end of the touch operation event and collects the second picture. When the intensity of the ambient light is less than the preset intensity threshold, the collection is performed, which is beneficial to reduce the influence of the ambient light on the calibration data. , Improve the accuracy of noise in the second picture.

Consistent with the embodiments shown in FIGS. 2, 3, and 4 above, please refer to FIG. 5. FIG. 5 is a schematic structural diagram of an electronic device 500 provided by an embodiment of the present application. The electronic device includes a display screen and The under-screen fingerprint module set in the preset area of the display screen, as shown in the figure, the electronic device 500 includes an application processor 510, a memory 520, a communication interface 530, and one or more programs 521, wherein the One or more programs 521 are stored in the foregoing memory 520 and configured to be executed by the foregoing application processor 510, and the one or more programs 521 include instructions for performing the following steps:

Determining a first set of data according to the at least one first picture and the second picture, the first set of data including a first exposure time and a first reference picture;

In a possible example, the one or more programs 521 further include instructions for executing the following steps: when it is detected that the user's touch operation event for the preset area starts, collecting the preset Before the first picture of the area, within a preset time period, it is detected that the number of times the electronic device has failed to perform a preset operation is greater than a preset number of thresholds, and the preset operation is: when a fingerprint to be unlocked event is detected, pass all The second exposure time collects the user's first reference fingerprint image, and processes the first reference fingerprint image through the second reference image to obtain the first target fingerprint image, and detects the first target fingerprint image and the preset Whether the fingerprint template matches, the detection that the electronic device fails to perform the preset operation is the detection that the first target fingerprint image does not match the preset fingerprint template; and it is determined that the type of the preset operation failure is a preset When the type is set, the touch operation event of the user for the preset area is detected.

In a possible example, in terms of determining the first set of data according to the at least one first picture and the second picture, the instructions in the program 521 are specifically configured to perform the following operations: A first picture determines the first exposure time; and is used to use the second picture as the first reference picture.

In this possible example, in terms of determining the first exposure time according to the at least one first picture, the instructions in the program 521 are specifically used to perform the following operations: acquiring each first picture The first pixel value of each first pixel in at least one of the preset regions; and used to determine the at least one pixel in each first picture according to the first pixel value of each first pixel A pixel average value of a preset area; and used to calculate the difference between the pixel average value of each of the first pictures and the preset average value; and used to determine that the difference value is less than or equal to the preset difference value A threshold value of the target picture in the at least one first picture; and the exposure time used for acquiring the target picture is the first exposure time.

In a possible example, in the aspect of collecting a second picture of the preset area when the end of the touch operation event is detected, the instructions in the program 521 are specifically used to perform the following operations: When the touch operation event ends, the intensity of the ambient light is acquired; and when the intensity of the ambient light is less than a preset intensity threshold, the second picture of the preset area is collected.

In a possible example, the one or more programs 521 further include instructions for performing the following steps: after the first set of data is determined according to the at least one first picture and the second picture, Said that before updating the currently stored second set of data with the first set of data, a third picture is collected through the first exposure time; and the third picture is processed by the first reference picture; and according to the processed The ratio of the signal amount of the third picture to the spatial noise detects that the processed image quality of the third picture is greater than a preset quality threshold.

In a possible example, the one or more programs 521 further include instructions for executing the following steps: after updating the currently stored second set of data with the first set of data, when it is detected that the fingerprint is to be unlocked In an event, collect a second reference fingerprint image of the user through the first exposure time; and process the second reference fingerprint image through the first reference picture to obtain a second target fingerprint image; and through the second target The fingerprint image unlocks the fingerprint to be unlocked event.

The foregoing mainly introduces the solution of the embodiment of the present application from the perspective of the execution process on the method side. It can be understood that, in order to implement the above-mentioned functions, the electronic device includes hardware structures and/or software modules corresponding to each function. Those skilled in the art should easily realize that in combination with the units and algorithm steps of the examples described in the embodiments provided herein, this application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed by hardware or computer software-driven hardware depends on the specific application and design constraint conditions of the technical solution. Professionals and technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered beyond the scope of this application.

The embodiment of the present application may divide the electronic device into functional units according to the foregoing method examples. For example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The above-mentioned integrated unit can be implemented in the form of hardware or software functional unit. It should be noted that the division of units in the embodiments of the present application is illustrative, and is only a logical function division, and there may be other division methods in actual implementation.

FIG. 6 is a block diagram of the functional units of the data self-calibration device 600 involved in an embodiment of the present application. The data self-calibration device 600 is applied to electronic equipment, the electronic equipment includes a display screen and an under-screen fingerprint module set relative to a preset area of the display screen, and the data self-calibration device 600 includes a processing unit 601 and a communication unit 602, of which:

The processing unit 601 is configured to collect at least one first picture in the preset area through the communication unit 602 when a touch operation event of the user on the preset area is detected; When the touch operation event ends, the second picture in the preset area is collected through the communication unit 602; the first set of data is determined according to the at least one first picture and the second picture, and the first set The data includes a first exposure time and a first reference picture; the currently stored second set of data is updated with the first set of data, and the second set of data includes a second exposure time and a second reference picture.

Wherein, the data self-calibration device 600 may further include a storage unit 603 for storing program codes and data of electronic equipment. The processing unit 601 may be a processor, the communication unit 602 may be a touch screen or a transceiver, and the storage unit 603 may be a memory.

In a possible example, the processing unit 601 collects the first picture of the preset area through the communication unit 602 before the detection of the start of the user's touch operation event for the preset area , Is also used to: within a preset time period, it is detected that the number of times the electronic device fails to perform a preset operation is greater than a preset number of thresholds, and the preset operation is: when a fingerprint to be unlocked event is detected, pass the first Second, the exposure time collects the user's first reference fingerprint image, and processes the first reference fingerprint image through the second reference image to obtain a first target fingerprint image, and detects the first target fingerprint image and a preset fingerprint template Whether it matches, the detection that the electronic device fails to perform the preset operation is the detection that the first target fingerprint image does not match the preset fingerprint template; and the type used to determine the failure of the preset operation is the preset When the type is set, the touch operation event of the user for the preset area is detected.

In a possible example, in the aspect of determining the first set of data according to the at least one first picture and the second picture, the processing unit 601 is specifically configured to: according to the at least one first picture Determining the first exposure time; and for using the second picture as the first reference picture.

In this possible example, in terms of determining the first exposure time according to the at least one first picture, the processing unit 601 is specifically configured to: acquire at least one preset in each first picture The first pixel value of each first pixel of the region; and the method used to determine the at least one preset region in each of the first pictures according to the first pixel value of each first pixel Pixel average value; and used to calculate the difference between the pixel average value of each of the first pictures and a preset average value; and the at least one used to determine that the difference value is less than or equal to a preset difference threshold A target picture in a first picture; and the exposure time used to obtain the target picture when the target picture is collected is the first exposure time.

In a possible example, in terms of collecting a second picture of the preset area when the end of the touch operation event is detected, the processing unit 601 is specifically configured to: when the touch operation event is detected At the end, the intensity of the ambient light is acquired; and when the intensity of the ambient light is less than a preset intensity threshold, the second picture of the preset area is collected.

In a possible example, after the processing unit 601 determines the first set of data according to the at least one first picture and the second picture, the processing unit 601 updates the currently stored data with the first set of data. Before the second set of data, it is also used to: collect a third picture through the communication unit 602 and the first exposure time; and process the third picture through the first reference picture; and according to the processed The ratio of the signal amount of the third picture to the spatial noise detects that the processed image quality of the third picture is greater than the preset quality threshold.

In a possible example, after the processing unit 601 is used to update the currently stored second set of data with the first set of data, it is further configured to: when a fingerprint to be unlocked event is detected, pass the communication unit 602 and the first exposure time to collect a second reference fingerprint image of the user; and process the second reference fingerprint image through the first reference picture to obtain a second target fingerprint image; and through the second target fingerprint image Unlock the fingerprint pending unlock event.

An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any method as recorded in the above method embodiment , The aforementioned computer includes electronic equipment.

The embodiments of the present application also provide a computer program product. The above-mentioned computer program product includes a non-transitory computer-readable storage medium storing a computer program. Part or all of the steps of the method. The computer program product may be a software installation package, and the above-mentioned computer includes electronic equipment.

It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that this application is not limited by the described sequence of actions. Because according to this application, some steps can be performed in other order or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

In the above-mentioned embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in an embodiment, reference may be made to related descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed device may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the above-mentioned units is only a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components can be combined or integrated. To another system, or some features can be ignored, or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical or other forms.

The units described above as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.

In addition, the functional units in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or software functional unit.

If the above integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable memory. Based on this understanding, the technical solution of the present application essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, A number of instructions are included to enable a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the foregoing methods of the various embodiments of the present application. The aforementioned memory includes: U disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above-mentioned embodiments can be completed by instructing relevant hardware through a program. The program can be stored in a computer-readable memory, and the memory can include: flash disk , Read-Only Memory (ROM), Random Access Memory (RAM), magnetic disk or optical disk, etc.

The embodiments of the application are described in detail above, and specific examples are used in this article to illustrate the principles and implementation of the application. The descriptions of the above examples are only used to help understand the methods and core ideas of the application; A person of ordinary skill in the art, based on the idea of the present application, will have changes in the specific implementation and the scope of application. In summary, the content of this specification should not be construed as a limitation of the present application.

Claims

A data self-calibration method, characterized by being applied to an electronic device, the electronic device including a display screen and an under-screen fingerprint module set relative to a preset area of the display screen, including:

Collecting at least one first picture in the preset area when a touch operation event of the user on the preset area is detected;

When it is detected that the touch operation event ends, collecting a second picture of the preset area;

Determining a first set of data according to the at least one first picture and the second picture, where the first set of data includes a first exposure time and a first reference picture;

The currently stored second set of data is updated with the first set of data. The second set of data includes a second exposure time and a second reference picture.
The method according to claim 1, wherein when it is detected that the user's touch operation event for the preset area starts, before collecting the first picture of the preset area, the method further comprises :

Within a preset time period, it is detected that the number of times the electronic device fails to perform a preset operation is greater than a preset number of thresholds, and the preset operation is: when a fingerprint to be unlocked event is detected, the user is collected through the second exposure time And process the first reference fingerprint image through the second reference image to obtain a first target fingerprint image, and detect whether the first target fingerprint image matches a preset fingerprint template, the Detecting that the electronic device fails to perform a preset operation is detecting that the first target fingerprint image does not match the preset fingerprint template;

When it is determined that the type of the preset operation failure is the preset type, the touch operation event of the user for the preset area is detected.
The method according to claim 1 or 2, wherein the determining the first set of data according to the at least one first picture and the second picture comprises:

Determining the first exposure time according to the at least one first picture;

Use the second picture as the first reference picture.
The method of claim 3, wherein the determining the first exposure time according to the at least one first picture comprises:

Acquiring the first pixel value of each first pixel of at least one preset area in each of the first pictures;

Determine, according to the first pixel value of each first pixel, an average value of pixels in the at least one preset area in each first picture;

Calculating the difference between the pixel average value of each of the first pictures and a preset average value;

Determine the target picture in the at least one first picture whose difference value is less than or equal to a preset difference value threshold;

The exposure time when acquiring the target picture is the first exposure time.
The method of claim 3, wherein the determining the first exposure time according to the at least one first picture comprises:

Selecting at least two reference pictures from the at least one first picture, and the definition of the reference pictures is higher than a preset definition;

Acquiring the reference exposure time when the at least two reference pictures are collected;

It is determined that the average exposure time of the reference exposure time of the at least two reference pictures is the first exposure time.
The method according to claim 3, wherein the collecting a second picture of the preset area when the end of the touch operation event is detected comprises:

When it is detected that the touch operation event ends, acquiring the intensity of the ambient light;

When the intensity of the ambient light is less than a preset intensity threshold, the second picture of the preset area is collected.
The method according to any one of claims 1-6, wherein after the first set of data is determined according to the at least one first picture and the second picture, the first set of data Before the data updates the currently stored second set of data, the method further includes:

Acquiring a third picture through the first exposure time;

Processing the third picture by using the first reference picture;

It is detected that the image quality of the processed third picture is greater than the preset quality threshold according to the ratio of the signal amount of the processed third picture to the spatial noise.
7. The method according to any one of claims 1-7, wherein after said updating the currently stored second set of data with the first set of data, the method further comprises:

When a fingerprint to be unlocked event is detected, collecting a second reference fingerprint image of the user through the first exposure time;

Processing the second reference fingerprint image by using the first reference picture to obtain a second target fingerprint image;

The fingerprint to-be-unlocked event is unlocked through the second target fingerprint image.
A data self-calibration device, characterized in that it is applied to electronic equipment, the electronic equipment includes a display screen and an under-screen fingerprint module set relative to a preset area of the display screen, and the data self-calibration device includes processing Unit and communication unit, where,

The processing unit is configured to collect at least one first picture of the preset area through the communication unit when a user's touch operation event for the preset area is detected; when the touch is detected When the operation event ends, the second picture of the preset area is collected through the communication unit; a first set of data is determined according to the at least one first picture and the second picture, and the first set of data includes the first An exposure time and a first reference picture; the currently stored second set of data is updated with the first set of data, and the second set of data includes a second exposure time and a second reference picture.
The device according to claim 9, wherein the processing unit collects the data of the preset area through the communication unit when the start of the touch operation event of the user for the preset area is detected. Before the first picture, it is also used to: within a preset time period, it is detected that the number of times the electronic device has failed to perform a preset operation is greater than a preset number of thresholds, and the preset operation is: when a fingerprint to be unlocked event is detected, Collect the user's first reference fingerprint image through the second exposure time, process the first reference fingerprint image through the second reference picture to obtain a first target fingerprint image, and detect the difference between the first target fingerprint image and the Whether the preset fingerprint template matches, the detection that the electronic device fails to perform the preset operation is the detection that the first target fingerprint image does not match the preset fingerprint template; and is used to determine that the preset operation fails When the type of is a preset type, the touch operation event of the user for the preset area is detected.
The device according to claim 9 or 10, wherein in the aspect of determining the first set of data according to the at least one first picture and the second picture, the processing unit is specifically configured to: The at least one first picture determines the first exposure time; and is used to use the second picture as the first reference picture.
The device according to claim 11, wherein, in the aspect of determining the first exposure time according to the at least one first picture, the processing unit is specifically configured to: obtain each of the first pictures The first pixel value of each first pixel in at least one of the preset regions; and used to determine the at least one pixel in each first picture according to the first pixel value of each first pixel A pixel average value of a preset area; and used to calculate the difference between the pixel average value of each of the first pictures and the preset average value; and used to determine that the difference value is less than or equal to the preset difference value A threshold value of the target picture in the at least one first picture; and the exposure time used for acquiring the target picture is the first exposure time.
The device according to claim 11, wherein, in the aspect of determining the first exposure time according to the at least one first picture, the processing unit is specifically configured to: select the at least one first picture At least two reference pictures in the picture, the definition of the reference picture is higher than the preset definition; and used to obtain the reference exposure time when collecting the at least two reference pictures; and used to determine the at least two reference pictures The average exposure time of the reference exposure time of the picture is the first exposure time.
The device according to claim 11, wherein, in terms of collecting a second picture of the preset area when the end of the touch operation event is detected, the processing unit is specifically configured to: When the touch operation event ends, the intensity of the ambient light is acquired; and when the intensity of the ambient light is less than a preset intensity threshold, the second picture of the preset area is collected.
The apparatus according to any one of claims 9-14, wherein after the processing unit determines the first set of data according to the at least one first picture and the second picture, the processing unit Before updating the currently stored second set of data, the first set of data is also used to: collect a third picture through the communication unit and the first exposure time; and process the third picture through the first reference picture. Picture; and it is detected that the image quality of the processed third picture is greater than the preset quality threshold according to the ratio of the signal amount of the processed third picture to the spatial noise.
The device according to any one of claims 9-15, wherein the processing unit is further configured to: when a fingerprint is detected, after the second set of currently stored data is updated with the first set of data In an event to be unlocked, collecting a second reference fingerprint image of the user through the communication unit and the first exposure time; and processing the second reference fingerprint image through the first reference picture to obtain a second target fingerprint image; And unlock the fingerprint to-be-unlocked event through the second target fingerprint image.
A chip, characterized by comprising: a processor, configured to call and run a computer program from a memory, so that a device installed with the chip executes the method according to any one of claims 1-8.
An electronic device, comprising a processor, a memory, a communication interface, and one or more programs, the one or more programs are stored in the memory and configured to be executed by the processor, The program includes instructions for performing the steps in the method according to any one of claims 1-8.
A computer-readable storage medium, characterized by storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the method according to any one of claims 1-8.
A computer program product, characterized in that, when the computer program product runs on a terminal, the method according to any one of claims 1-8 is realized.